{"id":"https://openalex.org/W2162761241","doi":"https://doi.org/10.1109/icassp.2009.4959945","title":"Event recognition with time varying Hidden Markov Model","display_name":"Event recognition with time varying Hidden Markov Model","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2162761241","doi":"https://doi.org/10.1109/icassp.2009.4959945","mag":"2162761241"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068625652","display_name":"Zhaowen Wang","orcid":"https://orcid.org/0000-0002-4605-2506"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaowen Wang","raw_affiliation_strings":["Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038228706","display_name":"Er\u00e7an E. Kuruo\u011flu","orcid":"https://orcid.org/0000-0002-2608-8034"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ercan E. Kuruoglu","raw_affiliation_strings":["Istituto di Scienza e Tecnologie dell''Informazione-Consiglio Nazionale delle Ricerche, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto di Scienza e Tecnologie dell''Informazione-Consiglio Nazionale delle Ricerche, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018343158","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0003-2126-6054"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113746006","display_name":"Songyu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyu Yu","raw_affiliation_strings":["Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Communication and Information Processing, EE Department, Shanghai JiaoTong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068625652"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.309,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85357625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1761","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8199945688247681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6746969819068909},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5832010507583618},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5323192477226257},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.5019536018371582},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.4673134684562683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46627357602119446},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.4475489556789398},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4259258508682251},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.400759220123291},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39482811093330383},{"id":"https://openalex.org/keywords/markov-property","display_name":"Markov property","score":0.394038587808609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37838214635849},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.36231520771980286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34626904129981995},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.20530816912651062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19844204187393188},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.15714922547340393}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8199945688247681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746969819068909},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5832010507583618},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5323192477226257},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.5019536018371582},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.4673134684562683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46627357602119446},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.4475489556789398},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4259258508682251},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.400759220123291},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39482811093330383},{"id":"https://openalex.org/C189973286","wikidata":"https://www.wikidata.org/wiki/Q176695","display_name":"Markov property","level":4,"score":0.394038587808609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37838214635849},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.36231520771980286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34626904129981995},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.20530816912651062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19844204187393188},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.15714922547340393},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2009.4959945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:people______::3a3a017f023298e88eae54a6c999bba3","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, pp. 1761-1764. Taipei, Taiwan, 19-24 April 2009","raw_type":"Conference article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1973807737","https://openalex.org/W2044646840","https://openalex.org/W2110575115","https://openalex.org/W2118722427","https://openalex.org/W2138309709"],"related_works":["https://openalex.org/W2118728396","https://openalex.org/W3113307220","https://openalex.org/W1510894296","https://openalex.org/W3164302780","https://openalex.org/W1542903750","https://openalex.org/W1985514205","https://openalex.org/W2921939473","https://openalex.org/W4302561434","https://openalex.org/W3102128462","https://openalex.org/W2343136344"],"abstract_inverted_index":{"Standard":[0],"hidden":[1],"Markov":[2,120],"model":[3,42,58,144],"(HMM)":[4],"and":[5,152],"the":[6,62,69,128],"more":[7,106],"general":[8],"dynamic":[9],"Bayesian":[10],"network":[11],"(DBN)":[12],"models":[13],"assume":[14],"stationarity":[15],"of":[16,31,64,88,131],"state":[17,65,75],"transition":[18,66,81,137],"distribution.":[19],"However,":[20],"this":[21,34],"assumption":[22],"does":[23],"not":[24],"hold":[25],"for":[26],"many":[27],"real":[28,149],"life":[29],"events":[30],"interest.":[32],"In":[33],"paper,":[35],"we":[36,91],"propose":[37],"a":[38,73,98,105,136],"new":[39],"time":[40,47,51,70,85,108,132],"sequence":[41],"that":[43],"extends":[44],"HMM":[45],"to":[46,104,147,155],"varying":[48,52,109,133],"scenario.":[49],"The":[50,142],"property":[53],"is":[54,145,153],"realized":[55],"in":[56,72,126],"our":[57],"by":[59,96],"explicitly":[60],"allowing":[61],"change":[63],"density":[67],"as":[68],"spent":[71],"particular":[74],"passes":[76],"by.":[77],"Rather":[78],"than":[79],"keeping":[80],"densities":[82],"at":[83],"different":[84],"spots":[86],"independent":[87],"each":[89],"other,":[90],"exploit":[92],"their":[93],"temporal":[94],"correlation":[95],"applying":[97],"hierarchical":[99],"Dirichlet":[100],"prior.":[101],"This":[102],"leads":[103],"robust":[107],"model,":[110],"especially":[111],"when":[112],"training":[113],"data":[114],"are":[115],"scarce.":[116],"We":[117],"also":[118],"employ":[119],"chain":[121],"Monte":[122],"Carlo":[123],"(MCMC)":[124],"sampling":[125],"learning":[127],"MAP":[129],"estimate":[130],"parameters,":[134],"with":[135],"kernel":[138],"incorporating":[139],"linear":[140],"optimization.":[141],"proposed":[143],"applied":[146],"recognizing":[148],"video":[150],"events,":[151],"shown":[154],"outperform":[156],"existing":[157],"HMM-based":[158],"methods.":[159]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}